Self-tuning Munimum Variance Control of Plant with Autoregressive Noise Model

자기회귀 잡음모델을 가진 공정의 최소분산형 자기조정 제어

  • Park, Juong Il (Dept. of Elec. Eng., Seoul National Univ.) ;
  • Choi, Keh Kun (Dept. of Elec. Eng., Seoul National Univ.)
  • 박정일 (서울대학교 전자공학과) ;
  • 최계근 (서울대학교 전자공학과)
  • Published : 1986.05.01

Abstract

The self-tuning control theory which has so far been studied has the type of a moving average noise mode. In this paper we propose a self-tuning munimum varinace control of the plant with an autoregressive noise model. New identities are introduced to find a munimum variance control input, and the stability and convergence properties in a closed loop system are studied using the BIBO concepts and ODE method. Also the proposed algorithm is compared withe that of the original self-tuning control by computer simulation.

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